quick update

Author: PatBall1

README.md

@@ -4,7 +4,7 @@
 </p>
 
 
- [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT) [![Detectree CI](https://github.com/patball1/detectree2/actions/workflows/python-ci.yml/badge.svg)](https://github.com/patball1/detectree2/actions/workflows/python-ci.yml) [![PEP8](https://img.shields.io/badge/code%20style-pep8-orange.svg)](https://www.python.org/dev/peps/pep-0008/) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17367058.svg)](https://doi.org/10.5281/zenodo.17367058)
+ [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT) [![Detectree CI](https://github.com/patball1/detectree2/actions/workflows/python-ci.yml/badge.svg)](https://github.com/patball1/detectree2/actions/workflows/python-ci.yml) [![PEP8](https://img.shields.io/badge/code%20style-pep8-orange.svg)](https://www.python.org/dev/peps/pep-0008/) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17367058.svg)](https://doi.org/10.5281/zenodo.17367058) [![Open in Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/forestmap-ai/Detectree2)
 
 
 <!-- <a href="https://github.com/hhatto/autopep8"><img alt="Code style: autopep8" src="https://img.shields.io/badge/code%20style-autopep8-000000.svg"></a> -->
@@ -13,11 +13,16 @@
 Python package for automatic tree crown delineation in aerial RGB and multispectral imagery based on Mask R-CNN. Pre-trained models can be picked in the [`model_garden`](https://github.com/PatBall1/detectree2/tree/master/model_garden).
 Tutorials on how to prepare data, train models and make predictions are available [here](https://patball1.github.io/detectree2/tutorials/index.html). For questions, collaboration proposals and requests for data email [James Ball](mailto:ball.jgc@gmail.com). Some example data is available to download [here](https://doi.org/10.5281/zenodo.8136161).
 
+> **Try detectree2 instantly -- no install needed:** [Open the demo on Hugging Face Spaces](https://huggingface.co/spaces/forestmap-ai/Detectree2)
+
 Detectree2是一个基于Mask R-CNN的自动树冠检测与分割的Python包。您可以在[`model_garden`](https://github.com/PatBall1/detectree2/tree/master/model_garden)中选择预训练模型。[这里](https://patball1.github.io/detectree2/tutorials/index.html)提供了如何准备数据、训练模型和进行预测的教程。如果有任何问题，合作提案或者需要样例数据，可以邮件联系[James Ball](mailto:ball.jgc@gmail.com)。一些示例数据可以在[这里](https://doi.org/10.5281/zenodo.8136161)下载。
 
 | <a href="https://www.conservation.cam.ac.uk/"><img src="./report/cam_logo.png" width="140"></a> | <sup> Code developed by James Ball, Seb Hickman, Christopher Kotthoff, Thomas Koay, Oscar Jiang, Luran Wang, Panagiotis Ioannou, James Hinton and Matthew Archer in the [Forest Ecology and Conservation Group](https://coomeslab.org/) at the University of Cambridge. The Forest Ecology and Conservation Group is led by Professor David Coomes and is part of the University of Cambridge [Conservation Research Institute](https://www.conservation.cam.ac.uk/). </sup>|
 | :---: | :--- |
 
+| <a href="https://forestmap.ai"><picture><source media="(prefers-color-scheme: dark)" srcset="./.github/forestmap_logo_dark.png"><img src="./.github/forestmap_logo.png" width="140"></picture></a> | <sup> Supported by [forestmap.ai](https://forestmap.ai). Try the online demo on [Hugging Face Spaces](https://huggingface.co/spaces/forestmap-ai/Detectree2). </sup>|
+| :---: | :--- |
+
 
 ## Citation